Correlation Between Mastercard and New York
Can any of the company-specific risk be diversified away by investing in both Mastercard and New York at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Mastercard and New York into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mastercard and New York Mortgage, you can compare the effects of market volatilities on Mastercard and New York and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Mastercard with a short position of New York. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mastercard and New York.
Diversification Opportunities for Mastercard and New York
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Mastercard and New is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Mastercard and New York Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New York Mortgage and Mastercard is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Mastercard are associated (or correlated) with New York. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New York Mortgage has no effect on the direction of Mastercard i.e., Mastercard and New York go up and down completely randomly.
Pair Corralation between Mastercard and New York
Allowing for the 90-day total investment horizon Mastercard is expected to generate 2.92 times less return on investment than New York. But when comparing it to its historical volatility, Mastercard is 1.52 times less risky than New York. It trades about 0.14 of its potential returns per unit of risk. New York Mortgage is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 560.00 in New York Mortgage on August 31, 2024 and sell it today you would earn a total of 62.00 from holding New York Mortgage or generate 11.07% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mastercard vs. New York Mortgage
Performance |
| Timeline |
| Mastercard |
| New York Mortgage |
Mastercard and New York Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mastercard and New York
The main advantage of trading using opposite Mastercard and New York positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mastercard position performs unexpectedly, New York can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in New York will offset losses from the drop in New York's long position.| Mastercard vs. American Express | Mastercard vs. PayPal Holdings | Mastercard vs. Upstart Holdings | Mastercard vs. Capital One Financial |
| New York vs. Two Harbors Investments | New York vs. ARMOUR Residential REIT | New York vs. Annaly Capital Management | New York vs. AGNC Investment Corp |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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